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A Multi-Controller Embedded Intelligent Crane System with Integrated Fire Safety for Light-Load Material Handling
Zhangwen Huang1, Jiayang Song1, Yuxiang Shi1
1Trine Engineering Institute, Shaanxi University of Technology, Hanzhong 723000, China.
Abstract:
With the development of industrial intelligence, traditional material handling systems suffer from insufficient flexibility, low functional integration, and weak fire safety response. To solve these problems, this paper designs an Arduino-based multifunctional intelligent material handling crane system with integrated fire safety protection. The system adopts a modular multi-sensor fusion architecture, realizing environmental perception, automatic path planning, and dual fire safety protection (smoke alarm + automatic fire extinguishing). Experiments were carried out in a laboratory-controlled environment with the system in as the benchmark; the results show that the operation efficiency of object handling is improved by 29.6%. This prototype system provides an experimental reference for the intelligent and safe upgrading of small and medium-sized warehousing material handling equipment. All experiments were completed in a controlled laboratory environment.
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